Comments (2)
Decreasing the number of scales of LSC-CNN might work decently well for sparse crowds but it quiet depends on the use case. But we're in the process of improving the model and would soon update the repository.
In case you have questions about reducing the number of scales, please mail at pvskand <at> protonmail <dot> com
.
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When can we expect the improvements in the model being reflected here?
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Related Issues (20)
- Training data HOT 3
- Test other datasets
- File Not Found Error HOT 4
- can't upload file of error_function.so HOT 2
- How to generate ROI data for other images ?
- How to optimize the bounding box? HOT 1
- small question about the paper HOT 1
- how to generate the GT of UCF_QNRF dataset? HOT 3
- How to train models with rectangle box annotations in LSC-CNN ? HOT 2
- Where do I find the head count detected for each image ? HOT 1
- can't execute the code for ucf-qrtf dataset HOT 2
- Asking for author's help:train error HOT 2
- shape error on running test of part_A
- 请问模型部署有做吗?
- Is there a way to run this model on an amd gpu setup? HOT 2
- AttributeError: 'float' object has no attribute 'item' HOT 1
- How to evaluate the result? HOT 1
- How can I generate my own custom dataset?
- how to solve this error ?
- How evaluate the model ?
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